|Publication number||US7099859 B2|
|Application number||US 09/488,471|
|Publication date||Aug 29, 2006|
|Filing date||Jan 20, 2000|
|Priority date||Jan 20, 2000|
|Also published as||US20030033299|
|Publication number||09488471, 488471, US 7099859 B2, US 7099859B2, US-B2-7099859, US7099859 B2, US7099859B2|
|Original Assignee||International Business Machines Corporation|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (20), Non-Patent Citations (4), Referenced by (51), Classifications (13), Legal Events (4)|
|External Links: USPTO, USPTO Assignment, Espacenet|
This application is related to patent application Ser. No. 09/488,470 titled “System and Method for Integrating On-Line Ratings of Businesses with Search Engines” which is filed by the same assignee as this application on even date herewith, and which is incorporated herein by reference in its entirety.
The present invention relates to the field of information retrieval, and particularly to a computer software product and associated method for ranking search results based on ratings of businesses from various off-line sources.
The World Wide Web (WWW) is comprised of an expansive network of interconnected computers upon which businesses, governments, groups, and individuals throughout the world maintain inter-linked computer files known as web pages. Users navigate these pages by means of computer software programs commonly known as Internet browsers. Due to the vast number of WWW sites, many web pages have a redundancy of information or share a strong likeness in either function or title. The vastness of the unstructured WWW causes users to rely primarily on Internet search engines to retrieve information or to locate businesses. These search engines use various means to determine the relevance of a user-defined search to the information retrieved.
The authors of web pages provide information known as metadata, within the body of the hypertext markup language (HTML) document that defines the web pages. A computer software product known as a web crawler systematically accesses web pages, by sequentially following hypertext links from page to page. The crawler indexes the pages for use by the search engines using information about a web page as provided by its address or Universal Resource Locator (URL), metadata, context, and other criteria found within the page. The crawler is run periodically to update previously stored data and to append information about newly created web pages. The information compiled by the crawler is stored in a metadata repository or database. The search engines search this repository to identify matches for the user-defined search rather than attempt to find matches in real time.
Current search engines use a variety of criteria to order matches to the user query and to rank the search results with higher quality pages listed at the top of the search list. Assessing quality involves both accurately matching the user query and identifying a useful, current web page. For instance, search engines may order the matches based on what is referred to herein as “static criteria”. Exemplary static criteria are the highest popularity, most recently updated, most visited, most queried, or most interconnected. It is common for users to limit the review of their search to only the first few matches of the search list.
For consumers searching the WWW for businesses, the search methods employed by current search engines provide incomplete information for the users to assess the quality of the businesses. The information provided by authors about their web sites, and the number of visits or queries received by a business site, typically reflect the quality of the web pages, but do not provide information about the quality of the business.
There is currently no adequate mechanism by which searches of business sites can be ordered based upon interactive criteria about the businesses themselves, correlating higher quality search matches to higher business satisfaction ratings. For example, popularity, is a commonly used static criterion which is determined by the number of visits or queries of business sites, and which may depend on advertising, strategic business alliances, or creative naming of a site, and is therefore independent of customers satisfaction with the ranked businesses. Therefore, there is still an unsatisfied need for a system and method that integrate user provided interactive criteria, such as customers and on-line users' satisfaction, with search engine results.
In accordance with the present invention, a computer program product includes an information repository that contains ratings of web site businesses. The ratings provided in this repository are integrated into the search engine results. Methods for collecting these ratings include, but are not limited to offline surveys such as consumers reports and surveys that are obtained through web or non-web based rating services that assess, for example, customer satisfaction. In another embodiment, rankings are provided by an independent ranking system through either offline or on-line surveys and the rankings are established independent of the search engine or the user of the search engine. Optionally, on-line questionnaires can be attached to the search engine, and the ratings provided by such on-line questionnaires and offline ratings can be weighted and combined to form a composite rating system.
The business rating system is comprised of an on-line indexing engine, a query transformer, a search results transformer, a ranking based result sorter, an off-line ranking system, an optional on-line ranking system, a metadata repository, and a ranking repository. The business rating system integrates the off-line ratings (and optionally the on-line ratings) with the search results, and ranks and presents the integrated search results to the user based on such ratings. In this manner, the user of a search engine receives feedback from other off-line and possibly on-line users and/or customers about businesses of interest. Those businesses with higher ratings are ranked at the top of the search list.
In operation, the user enters a query in the user interface of the search engine. The search engine searches the metadata repository for sites that match the user query, and also searches the business ratings repository. One or more sites in the metadata search results may correspond to matches in the business ratings search. The search engine determines the rank of each corresponding site in the ranking database and ranks the search results based on interactive criteria about the businesses. The ranked results are then presented to the on-line user.
In a preferred embodiment, the off-line (and optionally on-line) users complete and submit on-line surveys that are integrated with the search engine results. The information provided by the users is recorded and evaluated for the purpose of ranking the businesses. The ratings are made available to future users of the search engines. In another embodiment, in addition to a numerical rating system, the current on-line users may include descriptive annotations regarding customer satisfaction to be read by future users. In this manner, qualitative as well as quantitative feedback may be provided by the current users and examined by future users.
The various features of the present invention and the manner of attaining them will be described in greater detail with reference to the following description, claims, and drawings, wherein reference numerals are reused, where appropriate, to indicate a correspondence between the referenced items, and wherein:
The following definitions and explanations provide background information pertaining to the technical field of the present invention, and are intended to facilitate the understanding of the present invention without limiting its scope:
Crawler: A program that automatically explores the World Wide Web by retrieving a document and recursively retrieving some or all the documents that are linked to it.
HTML (Hypertext Markup Language): A standard language for attaching presentation and linking attributes to informational content within documents. During a document authoring stage, HTML “tags” are embedded within the informational content of the document. When the web document (or “HTML document”) is subsequently transmitted by a web server to a web browser, the tags are interpreted by the browser and used to parse and display the document. In addition to specifying how the web browser is to display the document, HTML tags can be used to create hyperlinks to other web documents.
Internet: A collection of interconnected public and private computer networks that are linked together with routers by a set of standards protocols to form a global, distributed network.
Search engine: A remotely accessible World Wide Web tool that allows users to conduct keyword searches for information on the Internet.
Server: A software program or a computer that responds to requests from a web browser by returning (“serving”) web documents.
URL (Uniform Resource Locator): A unique address that fully specifies the location of a content object on the Internet. The general format of a URL is protocol://server-address/path/filename.
Web browser: A software program that allows users to request and read hypertext documents. The browser gives some means of viewing the contents of web documents and of navigating from one document to another.
Web document or page: A collection of data available on the World Wide Web and identified by a URL. In the simplest, most common case, a web page is a file written in HTML and stored on a web server. It is possible for the server to generate pages dynamically in response to a request from the user. A web page can be in any format that the browser or a helper application can display. The format is transmitted as part of the headers of the response as a MIME type, e.g. “text/html”, “image/gif”. An HTML web page will typically refer to other web pages and Internet resources by including hypertext links.
Web Site: A database or other collection of inter-linked hypertext documents (“web documents” or “web pages”) and associated data entities, which is accessible via a computer network, and which forms part of a larger, distributed informational system such as the WWW. In general, a web site corresponds to a particular Internet domain name, and includes the content of a particular organization. Other types of web sites may include, for example, a hypertext database of a corporate “intranet” (i.e., an internal network which uses standard Internet protocols), or a site of a hypertext system that uses document retrieval protocols other than those of the WWW.
World Wide Web (WWW): An Internet client-server hypertext distributed information retrieval system.
The cloud-like communication network 20 is comprised of communication lines and switches connecting servers such as servers 25, 27, to gateways such as gateway 30. The servers 25, 27 and the gateway 30 provide the communication access to the WWW Internet. Users, such as remote Internet users are represented by a variety of computers such as computers 35, 37, 39, and can query the business rating system 10 for the desired information.
The host server 15 is connected to the network 20 via a communications link such as a telephone, cable, or satellite link. The servers 25, 27 can be connected via high speed Internet network lines 44, 46 to other computers and gateways. The servers 25, 27 provide access to stored information such as hypertext or web documents indicated generally at 50, 55, 60. The hypertext documents 50, 55, 60 most likely include embedded hypertext link to other locally stored pages, and hypertext links 70, 72, 74, 76 to other webs sites or documents 55, 60 that are stored by various web servers such as the server 27.
The business rating system 10 will now be described with further reference to
In use, the crawler visits and downloads web documents to the metadata repository 160 where they are stored and updated systematically. The web documents are then indexed by the indexing engine 100 to generate indexed data 175. The on-line ranking system 150 receives users' on-line surveys or feedbacks, and generates ranking data for storage in the on-line ranking repository 170. While the business rating system 10 is described as including two repositories 160, 170, it should be clear these two repositories 160, 170 can be functionally combined in a single database.
The query transformer 110, prompted by a user browser 200, applies an internal query request to the indexed data 175, and generates query results (or matches) 180 that are specific to the user's query. The ranking based result sorter 140 sorts the query results 180 based on the rating data from the on-line ranking repository 170, and generates ranked matches 185. Once the query matches are sorted or ranked according to business ratings and/or other factors, the ranked matches 185 are transformed into viewable or browsable form (i.e., HTML) by the transformer 130. The transformed data is subsequently presented to the user at the user interface (UI) or browser 200.
According to one embodiment, the user has the option to complete a business ratings survey form 455 (
Having described the main components of the business ratings system 10, its operation will now be explained in connection with
At step 320, the internal query request is referred to the indexed data 175. The compilation of the indexed data 175 is carried out in advance, and is depicted at blocks or steps 325, 330, and 335 of
For a given query generated at step 305, and for a database of indexed data 175, the method 300 searches the indexed data 175 for query matches at step 350. The step of matching the query against the indexed data is executed by the search engine. Discovering relevant matches is carried out by discovering instances where the user defined search words significantly overlap with those in the indexed data 175.
At decision block 360, the method 300 determines whether or not matches have been found within the indexed data 175. If no matches are found the user is prompted for another search at step 365. An affirmative answer to the inquiry at step 365 returns the user to the search engine interface 200 (step 305). A negative answer to this inquiry ends the search session at step 370.
If, however, the method 300 determines at step 360 that matches have been discovered, it proceeds to block 375 where the user selects the desired business rating option. For example the user can activate or turn off the business rating feature using the browser 200. In another embodiment, the user can select or toggle specific rating features ON or OFF. For example, the user can choose to order the matches to be ranked primarily according to other users' satisfaction and secondarily according to business competence, while disregarding price comparison.
The process 300 then inquires at decision block 380 if the user has activated the business rating option. A negative result directs the business rating system 10 to output the search results, at step 385, without reordering (or ranking) based on the business ratings. The search results could still be ranked according to conventional static criteria. The user is then prompted at step 390 to rank the businesses in the search results. If the user elects to provide rating data, the browser 200 sends the rating data to the business rating system 10 where it is stored in the on-line ranking repository 170 at step 395.
The rating data is stored in the ranking repository 170 in several fields, such as: the URL of the web site or address of the document; the business rating provided by the user; and the user's e-mail address. The user's e-mail address is recorded in an effort to create a user's profile history. This profile history enables the user to update or override the rating previously provided by this user but not the ratings provided by other users.
If at step 390 the user elects not to provide rating data, the method 300 advances to decision step 365 and therefrom proceeds as described earlier.
In the event of an affirmative response to the inquiry at step 380, the query results 180 are then referred to the ranking based result sorter 140 at step 400, where the query results 180 are cross-referenced with the items stored in the ranking repository 170. At step 410, the sorter 140 ranks the query matches 185 accounting for the on-line provided ratings. In one embodiment, the user controls the ranking of the query matches by selecting and prioritizing the parameters according to which the query matches are ranked. The ranked (or re-ordered) matches 185 are then transformed into a browsable form at step 420, and displayed at the user interface 200, at step 385, wherefrom the method 300 proceeds to decision step 390 as described earlier.
Decision step 390 will now be illustrated with reference to
By providing the ratings for a site across from its occurrence in a search result, a user can select the business that best suits that particular user's needs. In addition, the business rating system 10 is a self correcting system in that after a certain period of use, the users' interactive ratings could significantly affect the ranking of the businesses, and ultimately, lower ranked businesses stand lower chances of being browsed and thus selected. For example, if a user selects a site that had an initially high ranking and was not satisfied with the business, that user gives a poor rating to the business. If a reasonable number of users give a similarly poor rating to the same business, the business site will automatically ranked lower.
The business rating system 500 further includes the indexing engine 100, the query transformer 110, the search results transformer 130, the ranking based result sorter 140, the off-line ranking system 520, optionally the on-line ranking system 150, the metadata repository 160, and a ranking repository 570. The ranking repository 570 stores rating data accumulated by the off-line ranking system 520 and optionally by the on-line ranking system 150 as described above.
The operation of the business rating system 500 is illustrated by the method 300 of
It is to be understood that the specific embodiments of the invention that have been described are merely illustrative of certain application of the principle of the present invention. Numerous modifications may be made to the business ratings system and associated method described herein without departing from the spirit and scope of the present invention. Moreover, while the present invention is described for illustration purpose only in relation to the WWW, it should be clear that the invention is applicable as well to databases and other tables with indexed entries.
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|U.S. Classification||1/1, 707/E17.108, 707/999.003, 707/999.007, 707/999.01, 707/999.005|
|International Classification||G06F7/00, G06F17/30|
|Cooperative Classification||Y10S707/99933, Y10S707/99935, Y10S707/99937, G06F17/30864|
|Jan 20, 2000||AS||Assignment|
Owner name: INTERNATIONAL BUSINESS MACHINES CORPORATION, NEW Y
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:SUNDARESAN, NEELAKANTAN;REEL/FRAME:010520/0913
Effective date: 20000120
|Apr 5, 2010||REMI||Maintenance fee reminder mailed|
|Aug 29, 2010||LAPS||Lapse for failure to pay maintenance fees|
|Oct 19, 2010||FP||Expired due to failure to pay maintenance fee|
Effective date: 20100829